Transmission Power Adjustment Scheme for Mobile Beacon-Assisted Sensor Localization

Rezazadeh, Javad; Moradi, Marjan; Sandrasegaran, Kumbesan; Farahbakhsh, Reza

doi:10.1109/tii.2018.2868837

Cited by 30 publications

(8 citation statements)

References 26 publications

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“…Localization, as a crucial service for IoT, is an energydemanding process for both indoor and outdoor scenarios [7]. The localization techniques can be used for Indoor Navigation Systems (INS) to locate objects or people inside a building [8].…”

Section: Related Workmentioning

confidence: 99%

Novel iBeacon Placement for Indoor Positioning in IoT

et al. 2018

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Indoor positioning and location estimation inside the buildings is still challenging in Internet of Things (IoT) platform, however GPS signals could successfully solve the outdoor localization problem. A recently introduced RSS-based device, named iBeacon paves the way to estimate the users location inside the buildings. Due to the complexity of indoor RF environments, the positioning accuracy is affected by the placement of the iBeacons. Inadvertently the concept of iBeacon placement for improving the accuracy remains unattended by the current research. This paper provides a comprehensive analysis and experiments on the importance of iBeacon placement, and factors impacting the beacon signal quality. Moreover, we propose a novel beacon placement strategy, Crystal-shape iBeacon Placement (CiP). As another contribution, a customized application for android is developed which is used for recording and analyzing the iBeacon signals. Our proposed placement strategy could achieve 21.7% higher precision than the existing normal iBeacon placement.

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Section: Related Workmentioning

confidence: 99%

Novel iBeacon Placement for Indoor Positioning in IoT

et al. 2018

Self Cite

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“…Autonomy in localization denotes the sensor nodes can nd enough anchor nodes to obtain its location. Since in most localization schemes, one sensor node needs several anchor nodes' help to obtain its location [33,41].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fuzzy Game-Based Energy-Efficient Localization in 3D Underwater Sensor Networks

YuanYali

LiangChencheng

ChenXu

et al. 2021

ACM Trans. Internet Technol.

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Numerous applications in 3D underwater sensor networks (UWSNs), such as pollution detection, disaster prevention, animal monitoring, navigation assistance, and submarines tracking, heavily rely on accurate localization techniques. However, due to the limited batteries of sensor nodes and the difficulty for energy harvesting in UWSNs, it is challenging to localize sensor nodes successfully within a short sensor node lifetime in an unspecified underwater environment. Therefore, we propose the Adaptive Energy-Efficient Localization Algorithm (Adaptive EELA) to enable energy-efficient node localization while adapting to the dynamic environment changes. Adaptive EELA takes a fuzzy game-theoretic approach, whereby the Stackelberg game is used to model the interactions among sensor and anchor nodes in UWSNs and employs the adaptive neuro-fuzzy method to set the appropriate utility functions. We prove that a socially optimal Stackelberg–Nash equilibrium is achieved in Adaptive EELA. Through extensive numerical simulations under various environmental scenarios, the evaluation results show that our proposed algorithm accomplishes a significant energy reduction, e.g., 66% lower compared to baselines, while achieving a desired performance level in terms of localization coverage, error, and delay.

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“…However, the GNSS does not provide accurate positioning for indoor environment and therefore warrants development of alternative technologies for indoor localization [5]. GNSS is also not a cost-effective option for large scale networks which will be of paramount importance in IIoT scenarios [6]. Therefore, for such indoor IIoT environments another independent positioning system is required.…”

Section: Introductionmentioning

confidence: 99%

“…Ultra-WideBand (UWB) system have the capability to provide high accurate ranging accuracy as compared to other available low rate wireless personal area networks systems such as WiFi, Bluetooth, RFID, and other relevant technologies [6]- [11]. UWB impulse radio system employs an extremely short pulse which has a duration of the order of nanosecond, to provide time resolution and ranging accuracy to be within centimeters [8].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Based Approach for Indoor Localization Using Ultra-Wide Bandwidth (UWB) System for Industrial Internet of Things (IIoT)

Che

Ahmed

Zaidi

et al. 2020

2020 International Conference on UK-China Emerging Technologies (UCET)

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With the rapid development of wireless communication technology and the emergence of the Industrial Internet of Things (IIoT)s applications, high-precision Indoor Positioning Services (IPS) are urgently required. While the Global Positioning System (GPS) has been a key technology for outdoor localization, its limitation for indoor environments is well known. Ultra-WideBand (UWB) can help provide a very accurate position or localization for indoor harsh propagation environments. This paper focuses on improving the accuracy of the UWB indoor localization system including the Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) conditions by developing a Machine Learning (ML) algorithm. In this paper, a Naive Bayes (NB) ML algorithm is developed for UWB IPS. The performance of the developed algorithm is evaluated by Receiving Operating Curves (ROC)s. The results indicate that by employing the NB based ML algorithm significantly improves the localization accuracy of the UWB system for both the LoS and NLoS environment.

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Transmission Power Adjustment Scheme for Mobile Beacon-Assisted Sensor Localization

Cited by 30 publications

References 26 publications

Novel iBeacon Placement for Indoor Positioning in IoT

Novel iBeacon Placement for Indoor Positioning in IoT

Adaptive Fuzzy Game-Based Energy-Efficient Localization in 3D Underwater Sensor Networks

Machine Learning Based Approach for Indoor Localization Using Ultra-Wide Bandwidth (UWB) System for Industrial Internet of Things (IIoT)

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